2022 Solution Challenge Repository for Team DALGONA

The classification problem statement to identify whether registered complaint will be disputed by the customer or not.

🤖 End-to-end MLOps platform for fraud detection, integrating a Data Engineering pipeline (GCP, Airflow) and the ML model lifecycle (CatBoost).

AI Travel Planner is a cloud-native Generative AI application that creates personalized travel itineraries using Groq LLM and LangChain. The app is containerized with Docker, deployed on Kubernetes (Minikube on GCP VM), and includes a full ELK stack (Filebeat, Logstash, Elasticsearch, Kibana) for centralized logging and observability.

A Flask-based web app to manage products and vendors, generate shopping lists, and suggest the lowest-price vendors. Built with Bootstrap, SQLite3, and GCP, featuring Cloud SQL integration, and deployed on a Google Cloud VM with Uptime Check and Log Explorer for monitoring.

AI Anime Recommender is a Generative AI–powered recommendation system that suggests anime based on user preferences using semantic embeddings and LLM reasoning. Built with Groq, Hugging Face embeddings, LangChain, and ChromaDB, deployed on Kubernetes (Minikube on GCP VM) with monitoring via Grafana Cloud.

Developed an interactive dashboard utilizing Google Looker Studio to analyze Uber usage patterns in NYC. Designed a robust data model and implemented an efficient data pipeline using Mage AI on GCP's VM infrastructure. Utilized Google BigQuery for in-depth analytics and leveraged Google Cloud Platform for data processing.

An MLOps implementation to build and deploy an ML-model assessing the efficiency of a manufacturing machine using jenkins (CI), argoCD (CD), gitOps with webHooks for automatic push of code and GCP virtual machine (VM) as remote server.